Machine Learning for Quantum Matter II

Presentations

• Materials discovery through artificial intelligence

  Invited

  March 4, 2020, 1:15 PM – March 4, 2020, 1:51 PM

  Presenters

  • Muratahan Aykol

    Toyota Research Institute

  Authors

  • Muratahan Aykol

    Toyota Research Institute

  View abstract →

• Working without data: overcoming gaps in deep learning and physics-based extrapolation

  Invited

  March 4, 2020, 1:51 PM – March 4, 2020, 2:27 PM

  Presenters

  • Isaac Tamblyn

    Natl Res Council, National Research Council of Canada

  Authors

  • Isaac Tamblyn

    Natl Res Council, National Research Council of Canada

  View abstract →

• Machine learning models of properties of hybrid 2D materials as potential super lubricants

  ORAL

  March 4, 2020, 2:27 PM – March 4, 2020, 2:39 PM

  Presenters

  • Marco Fronzi

    IRCRE, Xi'an Jiaotong University

  Authors

  • Marco Fronzi

    IRCRE, Xi'an Jiaotong University

  • Mutaz Abu Ghazaleh

    University of Technology Sydney

  • Olexandr Isayev

    University of North Carolina

  • David Winkler

    La Trobe University

  • joe shapter

    Flinders University

  • Michael J Ford

    University of Technology Sydney

  View abstract →

• Charge Density Prediction through 3D-CNN for Fast Convergence of Self-Consistent DFT calculation

  ORAL

  March 4, 2020, 2:39 PM – March 4, 2020, 2:51 PM

  Presenters

  • Iori Kurata

    Univ of Tokyo

  Authors

  • Iori Kurata

    Univ of Tokyo

  • Chikashi Shinagawa

    Preferred Networks, Inc.

  • Ryohto Sawada

    Preferred Networks, Inc.

  View abstract →

• Data-driven studies of the magnetic anisotropy of two-dimensional magnetic materials

  ORAL

  March 4, 2020, 2:51 PM – March 4, 2020, 3:03 PM

  Presenters

  • Yiqi Xie

    Harvard University

  Authors

  • Yiqi Xie

    Harvard University

  • Trevor David Rhone

    Harvard University, Physics, Rensselaer Polytechnic Institute

  • Georgios Tritsaris

    Harvard University

  • Oscar Grånäs

    Uppsala University

  • Efthimios Kaxiras

    Harvard University, Department of Physics, Harvard University

  View abstract →

• Robust cluster expansion of multicomponent systems using machine learning with structured sparsity

  ORAL

  March 4, 2020, 3:03 PM – March 4, 2020, 3:15 PM

  Presenters

  • Zhidong Leong

    Institute of High Performance Computing

  Authors

  • Zhidong Leong

    Institute of High Performance Computing

  • Teck Leong Tan

    Institute of High Performance Computing

  View abstract →

• Generalizing an Energy Predictor based on Wavelet Scattering for 3D Atomic Systems

  ORAL

  March 4, 2020, 3:15 PM – March 4, 2020, 3:27 PM

  Presenters

  • Michael Swift

    Michigan State Univ

  Authors

  • Paul Sinz

    Michigan State Univ

  • Michael Swift

    Michigan State Univ

  • Xavier Brumwell

    Michigan State Univ

  • Kwang Jin Kim

    Michigan State Univ

  • Yue Qi

    Michigan State Univ

  • Matthew J Hirn

    Michigan State Univ

  View abstract →

• Using Machine Learning Models to Predict Higher-Level Quantities from Energy Models

  ORAL

  March 4, 2020, 3:27 PM – March 4, 2020, 3:39 PM

  Presenters

  • Olivier Malenfant-Thuot

    Universite de Montreal

  Authors

  • Olivier Malenfant-Thuot

    Universite de Montreal

  • Michel Cote

    Universite de Montreal, Département de physique, Université de Montréal and RQMP, Montréal, Québec, Canada

  View abstract →

• AI-guided engineering of nanoscale topological materials

  ORAL

  March 4, 2020, 3:39 PM – March 4, 2020, 3:51 PM

  Presenters

  • Srilok Srinivasan

    Argonne Natl Lab

  Authors

  • Srilok Srinivasan

    Argonne Natl Lab

  • Mathew J Cherukara

    Argonne Natl Lab

  • David Jason Eckstein

    Argonne Natl Lab

  • Anthony Avarca

    Argonne Natl Lab

  • Subramanian Sankaranarayanan

    Argonne Natl Lab

  • Pierre Darancet

    Center for Nanoscale Materials, Argonne National Laboratory, Argonne National Lab, Argonne Natl Lab

  View abstract →

• Motif-based machine learning for crystalline materials

  ORAL

  March 4, 2020, 3:51 PM – March 4, 2020, 4:03 PM

  Presenters

  • Huta Banjade

    Physics, Temple University

  Authors

  • Huta Banjade

    Physics, Temple University

  • Shanshan Zhang

    Computer and information Sciences, Temple University

  • Sandro Hauri

    Computer and information Sciences, Temple University

  • Slobodan Vucetic

    Computer and information Sciences, Temple University

  • Qimin Yan

    Physics, Temple University, Temple Univ

  View abstract →

• Machine learning powered kinetic energy functional finding in solid state physics

  ORAL

  Presenters

  • Hongbin Ren

    Chinese Academy of Sciences,Institute of Physics

  Authors

  • Hongbin Ren

    Chinese Academy of Sciences,Institute of Physics

  • Xi Dai

    Physics, Hong Kong University of Science and Technology, Physics Department, Hong Kong University of Science and Technology, Physics, Hong Kong University of Science of Technology, Hong Kong University of Science and Technology, Physics, The Hong Kong University of Science and Technology

  • Lei Wang

    Institute of Physics, Institute of Physics, The Chinese Academy of Sciences, Chinese Academy of Sciences,Institute of Physics, Institute of Physics, Chinese Academy of Sciences

  View abstract →